Nassir Navab

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Coauteurs

Federico TombariGoogle, TU MunichAdresse e-mail validée de in.tum.de
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIAdresse e-mail validée de uni-bonn.de
Seyed-Ahmad AhmadiSenior Solution Architect, Deep Learning in Healthcare @ NVIDIAAdresse e-mail validée de cs.tum.edu
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMAdresse e-mail validée de in.tum.de
Christian WachingerMIT, Harvard medical schoolAdresse e-mail validée de csail.mit.edu
Pascal FallavollitaAssoc. Prof. - University of OttawaAdresse e-mail validée de uottawa.ca
Diana MateusEcole Centrale Nantes / LS2NAdresse e-mail validée de ec-nantes.fr
Benjamin BusamTechnische Universität MünchenAdresse e-mail validée de in.tum.de
Joerg TraubAdj. Prof. Computer Science, TUM, Munich, GermanyAdresse e-mail validée de cs.tum.edu
Amin KatouzianCEO & Co-fouder, Vayo Inc.Adresse e-mail validée de myvayo.com
Sailesh ConjetiGlobal Product Lead, Artificial Intelligence, OlympusAdresse e-mail validée de olympus.com
Fausto MilletarìPaige.aiAdresse e-mail validée de paige.ai
Javad FotouhiGroup Leader, AI & Imaging Algorithms, Philips ResearchAdresse e-mail validée de philips.com
Abhijit Guha RoyGoogle ResearchAdresse e-mail validée de google.com
Maximilian BaustSenior Manager AI Developer Technology EMEAAdresse e-mail validée de nvidia.com
Dr. Ulrich EckVice Director, Senior Research Scientist, Technische Universität MünchenAdresse e-mail validée de tum.de
Bernhard FuerstJohns Hopkins UniversityAdresse e-mail validée de jhu.edu
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU MunichAdresse e-mail validée de cs.tum.edu
Tobias LasserNVIDIA, Technische Universität MünchenAdresse e-mail validée de nvidia.com
Christian RupprechtUniversity of OxfordAdresse e-mail validée de robots.ox.ac.uk

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Nassir Navab

Professor of Computer Science, Technische Universität München

Adresse e-mail validée de cs.tum.edu - Page d'accueil


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
V-net: Fully convolutional neural networks for volumetric medical image segmentation F Milletari, N Navab, SA Ahmadi 2016 fourth international conference on 3D vision (3DV), 565-571, 2016	10762	2016
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017	3146	2017
Deeper depth prediction with fully convolutional residual networks I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab 2016 Fourth international conference on 3D vision (3DV), 239-248, 2016	2291	2016
Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes S Hinterstoisser, V Lepetit, S Ilic, S Holzer, G Bradski, K Konolige, ... Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013	1577	2013
Model globally, match locally: Efficient and robust 3D object recognition B Drost, M Ulrich, N Navab, S Ilic 2010 IEEE computer society conference on computer vision and pattern …, 2010	1241	2010
Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again W Kehl, F Manhardt, F Tombari, S Ilic, N Navab Proceedings of the IEEE international conference on computer vision, 1521-1529, 2017	1181	2017
Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks AG Roy, N Navab, C Wachinger Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	1060	2018
Cnn-slam: Real-time dense monocular slam with learned depth prediction K Tateno, F Tombari, I Laina, N Navab Proceedings of the IEEE conference on computer vision and pattern …, 2017	940	2017
Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data A Martinez-Möller, M Souvatzoglou, G Delso, RA Bundschuh, ... Journal of nuclear medicine 50 (4), 520-526, 2009	822	2009
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes S Hinterstoisser, S Holzer, C Cagniart, S Ilic, K Konolige, N Navab, ... 2011 international conference on computer vision, 858-865, 2011	820	2011
Gradient response maps for real-time detection of textureless objects S Hinterstoisser, C Cagniart, S Ilic, P Sturm, N Navab, P Fua, V Lepetit IEEE transactions on pattern analysis and machine intelligence 34 (5), 876-888, 2011	784	2011
Structure-preserving color normalization and sparse stain separation for histological images A Vahadane, T Peng, A Sethi, S Albarqouni, L Wang, M Baust, K Steiger, ... IEEE transactions on medical imaging 35 (8), 1962-1971, 2016	760	2016
Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images S Albarqouni, C Baur, F Achilles, V Belagiannis, S Demirci, N Navab IEEE transactions on medical imaging 35 (5), 1313-1321, 2016	693	2016
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks AG Roy, S Conjeti, SPK Karri, D Sheet, A Katouzian, C Wachinger, ... Biomedical optics express 8 (8), 3627-3642, 2017	607	2017
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images C Baur, B Wiestler, S Albarqouni, N Navab Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019	594	2019
Dense image registration through MRFs and efficient linear programming B Glocker, N Komodakis, G Tziritas, N Navab, N Paragios Medical image analysis 12 (6), 731-741, 2008	566	2008
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011	521	2011
GANs for medical image analysis S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ... Artificial intelligence in medicine 109, 101938, 2020	492	2020
Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention W Wein, S Brunke, A Khamene, MR Callstrom, N Navab Medical image analysis 12 (5), 577-585, 2008	478	2008
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound F Milletari, SA Ahmadi, C Kroll, A Plate, V Rozanski, J Maiostre, J Levin, ... Computer Vision and Image Understanding 164, 92-102, 2017	465	2017

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